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Soft Computing in Image Processing

Iris Pattern Recognition Using Image Processing and Soft Computing Approach

Iris Pattern Recognition Using Image Processing and Soft Computing Approach

... ABSTRACT: Iris recognition is a method of identifying people based on unique patterns within the ring-shaped region surrounding the pupil of the eye. The iris usually has a brown, blue, gray, or greenish color , with ...

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A Survey on Image Clustering using Soft Computing Techniques

A Survey on Image Clustering using Soft Computing Techniques

... the image clustering having the different efficiency, different accuracy and the number of clusters is also different from the same ...of image clustering based on soft ...the image. ...

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Intelligent PID Controller on Soft Computing

Intelligent PID Controller on Soft Computing

... Huamin Yang graduated from Dalian University of Technology in 1985. He is a professor and doctoral tutor at Changchun University of Science and Technology and mainly engaged in teaching and research work. He is a member ...

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Soft computing-based colour quantisation

Soft computing-based colour quantisation

... the image processing literature, many different algorithms have been introduced that aim to find a palette that allows for good image quality of the quantised ...

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A Content Based Image Retrieval Using Soft Computing Technique Vikram Verma, Rachna Rajput

A Content Based Image Retrieval Using Soft Computing Technique Vikram Verma, Rachna Rajput

... Image Processing is a process to convert an image into digital form and perform some operations to get an enhanced image and extract useful information from ...an image as input and ...

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A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images

A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images

... is image analysis/processing, which can lead to segmentation, quantification and classification of images and objects of interest within ...the image segmentation is to partition an image into ...

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UNSUPERVISED LEARNING TECHNIQUES USING SOFT COMPUTING APPROACH WITH MRI BRAIN IMAGE-A PROCESS

UNSUPERVISED LEARNING TECHNIQUES USING SOFT COMPUTING APPROACH WITH MRI BRAIN IMAGE-A PROCESS

... MRI image. I will be use unsupervised segmentation techniques namely image segmentation through k-means and c-means clustering algorithms and segmentation using histogram ...scale image and color ...

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Image Based Hand Gesture Recognition using Statistical Features and Soft Computing Techniques

Image Based Hand Gesture Recognition using Statistical Features and Soft Computing Techniques

... Vision based hand gesture recognition [1] is one of the hot research topics in human computer interaction and image processing. Several researchers have contributed in this field for the past decades. ...

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Content-Based Image Retrieval Using Machine           Learning And Soft Computing Techniques

Content-Based Image Retrieval Using Machine Learning And Soft Computing Techniques

... query image from big databases CBIR is come as developing trend in digital image ...a image similarity are obtained by combining different distance metrics and multiple features suing SVM ...and ...

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Medical Image Edge Detection Based on Soft Computing Approach

Medical Image Edge Detection Based on Soft Computing Approach

... of image processing operations that process images based on ...processed image and makes use of the basic theory of morphology including erosion, dilation, opening and closing operation and the ...

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Natural Language Processing based Soft Computing Techniques

Natural Language Processing based Soft Computing Techniques

... computation, learn-ability, trainability and adaptation. Neural approaches have been performed successfully in many aspects of artificial intelligence such as image processing, NLP, speech recognition, ...

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A Review  Image Segmentation using Soft Computing Techniques

A Review Image Segmentation using Soft Computing Techniques

... Digital image processing (DIP) receiving organized reinforce strong examine program districts of image upgrade, image division & picture base precedent ...

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Survey on Image Watermarking Schemes using Adaptive Soft Computing Techniques

Survey on Image Watermarking Schemes using Adaptive Soft Computing Techniques

... adaptive soft computing techniques is presented to carry out grayscale image ...The processing time is very less (milliseconds) and this makes it suitable to develop watermarking applications ...

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Type2 Fuzzy Soft Computing Technique for Image Enhancement

Type2 Fuzzy Soft Computing Technique for Image Enhancement

... The proposed fuzzy type2 is used here to enhance the images efficiently for identifying the real objects for the processing of data. Two coordinates of the 2-D histogram expressed as L(i) and X(j) respectively, ...

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Image Object Classification and Identification using Soft Computing Tools: A Review

Image Object Classification and Identification using Soft Computing Tools: A Review

... Application of neural network plays a major role in image classification. Probabilistic neural network (PNN) is one widely used neural network. The PNN architecture is as shown in figure (4). It consists of ...

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A Survey on Soft Computing Techniques and Applications

A Survey on Soft Computing Techniques and Applications

... the processing of vehicles, otherwise known as variables or entities, according to a set of ...the computing system. A computing system is a mechanism whose components must be functionally organized ...

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A Holistic Review of Soft Computing Techniques

A Holistic Review of Soft Computing Techniques

... Koza in [119] invented Genetic programming (GP) by extending the capability of genetic algorithm which uses the ideas and terms of biological evolution to handle a complex problem with a model for testing and selecting ...

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Soft Computing in Bioinformatics: Methodologies and Applications

Soft Computing in Bioinformatics: Methodologies and Applications

... ones. Soft computing can be easily adapted to a changing ...of soft computing multi-objective optimization algorithms like multi- objective genetic algorithms appears to be natural and ...

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An image processing approach to computing distances between RNA secondary structures dot plots

An image processing approach to computing distances between RNA secondary structures dot plots

... Results: We have developed a new metric dubbed 'DoPloCompare', which compares two RNA structures. The method is based on comparing dot plot diagrams that represent the secondary structures. When analyzing two diagrams ...

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Image Processing

Image Processing

... Some facial recognition algorithms identify facial features by extracting landmarks, or features, from an image of the subject's face. For example, an algorithm may analyze the relative position, size, and/or ...

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